Demographic processes, the social environment, and life challenge are intimately interlocked with functional status and illness. The social environment, encompassing position in social hierarchy as well as linkages within social networks and support systems, affects exposure to challenge and mediates its effects. This biodemographic investigation has two primary goals. First, we propose to elaborate the relationship between life challenge and health, exploring how the social environment affects that relationship. Specifically we will: 1) Identify challenges that are most strongly associated with, and discriminate best between, the preservation and deterioration of health; 2) Examine both the costs and benefits to health of social connection, support networks, instrumental assistance and emotional support, and social activity. We will identify the components that are most important for the maintenance of mental and physical functioning and for mediating the effects of challenge on health outcomes; and 3) Explore the effects of cumulative advantage and cumulative adversity on health taking into account both timing and severity of life events. Second, we propose to explore how our understanding of the relationships among life challenge, the social environment, and health can be enhanced by incorporating biological markers of health and stress. We will: 1) Investigate the extent to which biological markers of stress and chronic illness are related to reports of life events; 2) Examine the associations between the biological markers and data from physicians' examinations and self-reported health status, and explore their links to survival based on data from death certificates and the household registry; and 3) Explore the extent to which the biological markers can explicate the relations among the social environment, challenge, and health. We will use unusually rich, population-based data from a longitudinal study of the elderly. These data have been collected periodically since 1989 and comprise detailed retrospective and current status information on health and on social, economic, and demographic characteristics. We propose to collect biological markers of health and of life challenge from a subset of 1000 of the participants based on physical exams, and assays of blood and urine specimens. Our analytical strategy uses two multivariate procedures: 1) generalized linear models (especially those for limited dependent variables); and 2) grade of membership models. Our use of both techniques will exploit their complementary strengths for answering our research questions.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Project (R01)
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Social Sciences and Population Study Section (SSP)
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Patmios, Georgeanne E
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Princeton University
Other Domestic Higher Education
United States
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Glei, Dana A; Goldman, Noreen; Ryff, Carol D et al. (2018) Physical Function in U.S. Older Adults Compared With Other Populations: A Multinational Study. J Aging Health :898264318759378
Culverhouse, R C; Saccone, N L; Horton, A C et al. (2018) Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Mol Psychiatry 23:133-142
Todd, Megan A (2017) Inflammation and Cognition in Older Adults: Evidence from Taiwan. Biodemography Soc Biol 63:309-323
Lee, Chioun; Glei, Dana A; Goldman, Noreen et al. (2017) Children's Education and Parents' Trajectories of Depressive Symptoms. J Health Soc Behav 58:86-101
Glei, Dana A; Goldman, Noreen; Ryff, Carol D et al. (2017) Can we determine whether physical limitations are more prevalent in the US than in countries with comparable life expectancy? SSM Popul Health 3:808-813
Cornman, Jennifer C; Glei, Dana A; Goldman, Noreen et al. (2017) Physiological Dysregulation, Frailty, and Risk of Mortality Among Older Adults. Res Aging 39:911-933
Lin, Yu-Hsuan; Jen, Min-Hua; Chien, Kuo-Liong (2017) Association between life-course socioeconomic position and inflammatory biomarkers in older age: a nationally representative cohort study in Taiwan. BMC Geriatr 17:201
Cornman, Jennifer C; Glei, Dana A; Goldman, Noreen et al. (2016) Cohort Profile: The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan. Int J Epidemiol 45:54-63
Goldman, Noreen; Glei, Dana A; Weinstein, Maxine (2016) What Matters Most for Predicting Survival? A Multinational Population-Based Cohort Study. PLoS One 11:e0159273
Glei, Dana A; Goldman, Noreen; Risques, Rosa Ana et al. (2016) Predicting Survival from Telomere Length versus Conventional Predictors: A Multinational Population-Based Cohort Study. PLoS One 11:e0152486

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